Window Detection in Facades Using Heatmap Fusion

Journal of Computer Science and Technology - Window detection is a key component in many graphics and vision applications related to 3D city modeling and scene visualization. We present a novel...     

EmotionMap: Visual Analysis of Video Emotional Content on a Map

Journal of Computer Science and Technology - Emotion plays a crucial role in gratifying users’ needs during their experience of movies and TV series, and may be underutilized as a framework...     

Skeleton parsing for complex question answering over knowledge bases

Answering complex questions involving multiple relations over knowledge bases is a challenging task. Many previous works rely on dependency parsing. However, errors in dependency parsing would influence their performance, in particular for long complex questions. In this paper, we propose a novel skeleton grammar to represent the high-level structure of a complex question. This lightweight formalism and its BERT-based parsing algorithm help to improve the downstream dependency parsing. To show the effectiveness of skeleton, we develop two question answering approaches: skeleton-based semantic parsing (called SSP) and skeleton-based information retrieval (called SIR). In SSP, skeleton helps to improve structured query generation. In SIR, skeleton helps to improve path ranking. Experimental results show that, thanks to skeletons, our approaches achieve state-of-the-art results on three datasets: LC-QuAD 1.0, GraphQuestions, and ComplexWebQuestions 1.1.     

基于ERNIE-BiGRU模型的摘要语步自动识别研究

学术文献的摘要是对文献主要内容的浓缩,摘要不同部分的语步具有不同的信息,语步的自动识别和抽取对于学术摘要的后续研究有着重要的应用价值,而目前语步识别的研究相对较少,并且相关算法的效果还需要提高。针对上述问题,该文提出了一种基于ERNIE-BiGRU模型的语步识别算法。该算法首先结合中文句法分析理论提出基于句法依存关系的多语步结构拆分法,对学术文献摘要多语步结构进行自动拆分,获得多个单语步结构;然后构建用于训练的单语步结构语料库,并利用知识增强语义表示预训练模型,训练出句子级词向量;最后将训练出的单语步结构词向量信息输入双向门限循环单元(BiGRU)进行摘要语步自动化识别,取得了良好的效果。实验结果表明,该算法具有较好的鲁棒性和较高的识别精度,在结构化和非结构化摘要上的识别准确率分别达到了96.57%和93.75%。     

圆竖井地质素描展开图制作的简便方法

从几何分析出发，结合实例介绍了制作圆竖井素描展开图的简单方法，其精度可达地质要求。     

异型柱结构内力分析研究

异型柱结构由于柱截面几何形状和平面布置的特殊性，内力分布与变形同矩形柱结构有较大的差别。本文针对异型柱结构的特点，建议了柱单元模型、计算简图及合理计算参数的选取，并对一异型柱工程按不同的计算模型进行了内力分析对比。最后将几个常用设计软件在异型柱结构内力分析和设计方面的功能列表比较，以供工程设计人员选用时参考。     

建筑美术素描教学探索

在素描基础教学中，写实与抽象练习都是同样重要的课题．写实练习是认识自然的基础，抽象造型是对自然认识的飞跃，前是依据后是发现与创作。抽象意识的训练是培养学生创作想象力的重要途径，是素描基础教学不可缺少的一个内容．只强调写实而忽视抽象练习的教学在造型意义上是不完整的。     

基于参数化特征造型的建筑造型设计研究

介绍了一种建筑渲染图快速建模方法．采用参数化特征造型和尺寸驱动技术后，建筑建模由２维快速草图设计和尺寸标注完成，用于渲染着色的建筑３维模型可以按照２维模型由系统自动生成．通过建筑特征样式定义和缺省设计，实现特征参数的约束与继承，避免了设计中的重复和错误，提高了设计速度．该算法是通过ＡＵＴＯＣＡＤ的Ｃ语言开发工具ＡＤＳ实现的．     

基于桥连接的词典学习方法的语义解析

现阶段的语义解析方法大部分都基于组合语义,这类方法的核心就是词典。词典是词汇的集合,词汇定义了自然语言句子中词语到知识库本体中谓词的映射。语义解析一直面临着词典中词汇覆盖度不够的问题。针对此问题,该文在现有工作的基础上,提出了基于桥连接的词典学习方法,该方法能够在训练中自动引入新的词汇并加以学习,为了进一步提高新学习到的词汇的准确度,该文设计了新的词语—二元谓词的特征模板,并使用基于投票机制的核心词典获取方法。该文在两个公开数据集(WebQuestions和Free917)上进行了对比实验,实验结果表明,该文方法能够学习到新的词汇,提高词汇的覆盖度,进而提升语义解析系统的性能,特别是召回率。     

Unbiased estimation of inner product via higher order count sketch

Count sketch [1] is one of the popular sketching algorithms widely used for frequency estimation in data streams, and pairwise inner product for real-valued vectors [2]. Recently, Shi et al. [3] extended the count sketch (CS) and suggested a higher-order count sketch (HCS) algorithm that compresses input tensors (or vectors) into succinct tensors which closely approximates the value of queried features of the input. The major advantage of HCS is that it is more space-efficient than count sketch. However, their paper didn't comment on estimating pairwise inner product from the sketch. This note demonstrates that HCS also closely approximates the pairwise inner product. We showed that their sketch gives an unbiased estimate of the pairwise inner product, and gives a concentration analysis of the estimate.